O JOB SHARING FOR MOBILE CLOUD COMPUTING ... issue of “Opportunistic Job Sharing For Mobile Cloud…

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<ul><li><p>International Journal on Cloud Computing: Services and Architecture (IJCCSA) ,Vol. 4, No. 4, August 2014 </p><p>DOI : 10.5121/ijccsa.2014.4402 9 </p><p>OPPORTUNISTIC JOB SHARING FOR MOBILE CLOUD </p><p>COMPUTING </p><p> PARIDHI VIJAY</p><p>1 AND VANDANA VERMA</p><p>2 </p><p> 1B.E, Computer Science and Engineering, Rajasthan College of Engineering for Women, </p><p>Jaipur, Rajasthan </p><p>2Asst. Professor (CSE Dept.), Rajasthan College of Engineering for Women, Jaipur, </p><p>Rajasthan </p><p>ABSTRCT [ </p><p>Cloud Computing is the evolution of new business era which is covered with many of technologies.These </p><p>technology are taking advantage of economies of scale and multi tenancy which are used to decrees the </p><p>cost of information technology resources. Many of the organization are eager to reduce their computing </p><p>cost through the means of virtualization. This demand of reducing the computing cost and time has led to </p><p>the innovation of Cloud Computing. Itenhanced computing through improved deployment and </p><p>infrastructure costs and processing time. Mobile computing &amp; its applications in smart phones enable a </p><p>new, rich user experience. Due to extreme usage of limited resources in smart phones it create problems </p><p>which are battery problems, memory space and CPU. To solve this problem, we propose a dynamic mobile </p><p>cloud computing architecture framework to use global resources instead of local resources. In this </p><p>proposed framework the usefulness of job sharing workload at runtime reduces the load at the local client </p><p>and the dynamic throughput time of the job through Wi-Fi Connectivity. </p><p>KEYWORDS </p><p>Cloud Computing, Offloading, Cost, Time, Smartphone, Wi-Fi. </p><p>1. INTRODUCTION </p><p>Cloud Computing technology maintain data and application using central remote server. It permit </p><p>the user to use thesetechnologies without installation their related files at any computer. At any </p><p>time resources and applications are available to be use from the cloud via the internet. Cloud </p><p>technology is the base of new business. Cloud technology are taking advantage of economies of </p><p>scale and multi tenancy which are used to decrees the cost of information technology resources. </p><p>However, data use a significant and growing portion of energy, an average data consumes as </p><p>much energy as 30,000 households. Thecurrent demand of cloud computing technology is that </p><p>consumer only used those data which they required, and only pay for what they actually consume. </p><p>Mobile computing is an interaction between human and computer by which computer is expected </p><p>to be transported during usage [4]. It includes mobile hardware, mobile communication n mobile </p><p>software [4]. The greatest feature of the mobile cloud computing is that it allows user to connect </p><p>its relevant data from anywhere in the world via network. Energy-aware computing is crucial for </p><p>cloud computing systems that consume considerable amount of energy [5]. Problems occur when </p><p>trying to support mobility in computing devices: resource sparseness, hazardousness, finite </p><p>energy source, and low connectivity [5]. </p></li><li><p>International Journal on Cloud Computing: Services and Architecture (IJCCSA) ,Vol. 4, No. 4, August 2014 </p><p>10 </p><p>In this paper we refer job sharing/scheduling based algorithm so that each connected devices gets </p><p>their part of work and using offloading process each one can do their work properly &amp; </p><p>acknowledges to the central server. By using of Service Level Agreement, achieving high[35] </p><p>performance in cloud computing and of great significance for improving resource load balance, </p><p>security, reliability and reducing energy consumption of the whole system.[32,35In this paper we </p><p>used Wi-Fi as connectivity option. Using Wi-Fi based architectural framework we can utilize all </p><p>the global resources via network connectivity but not only limited to the local resources. Cloud is </p><p>available for low end mobile device as well as high end mobile device in this framework. Most of </p><p>the cloud resource would be mobile, computer, laptop etc. Dynamic mobile cloud framework can </p><p>handle run time resources and connectivity. In the framework we explain vision towards the </p><p>process large amount of job which requires huge hardware resources with smart phones by </p><p>partitioning the task into the number of jobs which is cost-saving, battery-life saving. Using this </p><p>architectural framework huge task can be done in just a matter of time using global resources. </p><p>2. RESEARCHD ETAILS Now days,Cloud Computing is one of the most famous topic and it is play very important role in </p><p>enterprises due to the cost charges and computational promises it gives. I am doing the study on </p><p>the issue of Opportunistic Job Sharing For Mobile Cloud Computing Opportunistic Job Sharing </p><p>group is an enterprise which is using Cloud Computing andmy research question are: What are </p><p>the basicprofits and drawback regarding cost, time and data security by using Wi-Fi technic for </p><p>Enterprises to adopt Cloud Computing? </p><p>2.1Purpose of Research </p><p> Basic fundamental of the thesis is to extract the advantages and drawbacks with respect to cost, </p><p>time, datasecurity and data availability so organizations can have by the use of Cloud Computing </p><p>for the implementation of their information system. Finally concluding the factors in terms of </p><p>cost, time and data security by using Wi-Fi technic, enterprises should keep in mind while </p><p>adopting CC for the effective and efficient use of their information system. </p><p>2.2 Related Work </p><p>In this section we provide a review of related research efforts, ranging from the earlier approaches </p><p>that focus two methods relating to offloading, job scheduling work from mobile. </p><p>Marinelli [2] introduce Hyrax, mobile cloud computing technology consumer that agrees mobile </p><p>devices to utilize cloud computing platforms. Based on Hadoop1, the main focus of this work is </p><p>to port a client into a mobile device to enable the integration. The author introduces the concept of </p><p>using mobile devices as resource providers, but further experimentation is not included. [2] </p><p>Integration between mobile devices and cloud computing is presented in several previous works. </p><p>Christensen [1] presents general requirements and key technologies to achieve the goal of mobile </p><p>cloud computing. The author introduces an exploration on latest smart phones, framework </p><p>awareness, cloud and restful based web services, and explains how to create this innovative </p><p>components for a better experience for mobile phone users. [1] </p><p>Fernando, W. Loke and WennyRahayu, Introduce the feasibility of a mobile cloud computing </p><p>framework to use local resources [4]. Main aim of the framework is to determine a usefulness of </p><p>sharing workload at runtime. The results of experiments conducted with Bluetooth transmission. </p><p>[4] </p></li><li><p>International Journal on Cloud Computing: Services and Architecture (IJCCSA) ,Vol. 4, No. 4, August 2014 </p><p>11 </p><p>RehanSaleem (831015-T132),It Introduce cloud computings effect on enterprises, theirresearch </p><p>work is define, How to handle the effects of Cloud Computing in the enterprises. The specific </p><p>areas he researched during his study were cost and security and specially he give the differences </p><p>between grid computing and cloud computing, Cloud Computing is the sum of Software as a </p><p>Service (SaaS) and Utility Computing, but does not include Private Clouds. [6] </p><p>PriyankaGupta&amp;PoojaDeshpande, It introduceto Efficient Resource Allocation and Scheduling </p><p>Approach to Enhance the Performance of Cloud Computing [32].Attempts to schedule the jobs </p><p>such a way that cloud provider can gain maximum benefit for his service and Quality of Service </p><p>(QoS) requirement user's job which enhances the performance of cloud service.[32] </p><p>2.3 Motivation forthe Work </p><p>Lets consider the scenario of Mr Rahul (Photo editor) travelling by car. He suddenly gets an </p><p>email to edit a large size image. He starts editing. Since the large size image need to be edited </p><p>only on laptop because it cannot be edited on the smart phones due to memory constraints, limited </p><p>battery power &amp; low CPU processing of smart phones. As the matter of the fact he cannot edit the </p><p>image. </p><p>In this scenario if he has a dynamic mobile cloud computing framework through this he can </p><p>create a cloud using network (Wi-Fi) then the result would be different. He uploads image to the </p><p>central server (cloud) using Wi-Fi network &amp; asks some of his colleagues to do it. All the cloud </p><p>clients (colleagues) edit the particular part of the image and again send back the response to the </p><p>server. Central server processes all the responds and again sends back to the Rahul. </p><p>In this way Rahul explores the dynamic architectural framework by using sharing/offloading </p><p>process to complete his job and moved over four major challenges: reduce bulkiness, time-saving, </p><p>limited memory and battery power. Now John is still available to do any urgent work which is the </p><p>best part of using this framework. </p><p>3. THEORETICAL DETAILS </p><p> Main idea of this section is to introduce the framework of my research thesis. </p><p>3.1 Cloud Computing </p><p>DEFINITION </p><p>There are lots of definitions of Cloud Computing giving by different-different researchers. </p><p>Barkley RAD defines Cloud Computing as [6]: </p><p>Cloud Computing refers to both the applications as services over the Internet and the hardware </p><p>and systems software in the datacentres that provide those services. The services themselves have </p><p>long been referred to as Software as a Service (SaaS). The datacentre hardware and software is </p><p>what we will call a Cloud. When a Cloud is made available in a pay-as-you-go manner to the </p><p>general public, we call it a Public Cloud; the service being sold is Utility Computing. We use the </p><p>term Private Cloud to refer to internal datacentres of a business or other organization, not made </p><p>available to the general public. Thus, Cloud Computing is the sum of SaaS and Utility </p><p>Computing, but does not include Private Clouds. People can be users or providers of SaaS, or </p><p>users or providers of Utility Computing.[6] </p></li><li><p>International Journal on Cloud Computing: Services and Architecture (IJCCSA) ,Vol. 4, No. 4, August 2014 </p><p>12 </p><p>Cloud Computing is a new addingpattern. Infrastructure resources (hardware, storage and system </p><p>software) and applications are provided in as-a-Service manner. When these services are offered </p><p>by an independent provider or to external customers, Cloud Computing is basically based on </p><p>fundamental of paid-per-use concept. Main features of Clouds are virtualization and dynamic </p><p>scalability on demand. Utility computing technology and software as a services are provided in </p><p>acombinedstyle, whereas utility computing might be consumed separately. Cloud services are </p><p>used up either via Web browser or Application programming interface. [33] </p><p>Figure 1. Cloud Services and Applications </p><p>3.2Cloud Service Models There are 3 Cloud Services Models which are explain below </p><p> Cloud Software as Service: - It is also known as On demand Softwareand it is a software licensing and it provide the software to consumer on subscription base. </p><p> Cloud Platform as Service:-In this type of service, the consumer can deploy, the user generated or developed applications which is create by using programming or tools given </p><p>by provider, on the cloud infrastructure.[6] </p><p> Cloud Infrastructure as Service: - This is a capability provided to the consumer by which, it can provision processing, storage, networks and other fundamental computing </p><p>resources where the consumers can deploy and run the software. </p><p>3.3 Cloud Deployment Models </p><p> Public Cloud:-This public cloud is available for every organization. </p><p> Private Cloud:-This cloud is available only for particular organization or company. </p><p> Community Cloud: - In this type of cloud deployment model, the infrastructure of the cloud system is commonly used by many of the organizations and supports a specific </p><p>community with shared concerns. </p><p> Hybrid Cloud:-It is a composition of two or more different clouds that is private or community or public. Element of the hybrid cloud are tightly coupled. </p></li><li><p>International Journal on Cloud Computing: Services and Architecture (IJCCSA) ,Vol. 4, No. 4, August 2014 </p><p>13 </p><p>4. PROPOSED ARCHITECTURE </p><p>Figure 2. Main component of a cloud framework </p><p>The three main components of the architectural framework are cloud client, central server and ad-</p><p>hoc network. </p><p>CLOUD CLIENT Its like a master component of the cloud. This client sends request to the central server. SOAP </p><p>protocol is used as communicating medium among the connected devices. This is the master user </p><p>as this controls the all the query. It offloads all it works to the central server. </p><p>SOAP sender: Cloud Client </p><p>CENTRAL SERVER/Resource Manager </p><p>It is the heart of the architecture. It gets all the SOAP requests from the master that is cloud client </p><p>and converts into XML language. This server uses basic job sharing algorithm for distribute the </p><p>job &amp; intimidate to the other cloud connected devices according to their resource and capabilities. </p><p>It acts as a resource manager. </p><p>SOAP message path: Central Server </p><p>AD-HOC NETWORK/Job Handler </p><p>It is the bunch of connected devices which is responsible for the load balance. These are kind </p><p>of slave devices who acts on getting the SOAP request from the server. Whole devices share the </p><p>same cloud and every device gets the SOAP request from the central server depending on the size </p><p>of task from the master cloud client. Once the jobs have been distributed, the clients would </p><p>proceed to execute their job/s. When the job handler (client) devices finish their job, result are </p><p>sent back to the master and reassembled. </p><p>SOAP receiver: Ad-hoc network </p></li><li><p>International Journal on Cloud Computing: Services and Architecture (IJCCSA) ,Vol. 4, No. 4, August 2014 </p><p>14 </p><p>5. PROPOSED WORK AND IMPLEMENTATION </p><p>5.1 Basic Architecture </p><p>Figure 3.Basic Architecture </p><p>Figure 4. Flow Diagram of Cloud request and response </p><p>5.2 Processof Cloud Request and Response </p><p> Mobile user send the request to the cloud server, it passes through many step until acceptance </p><p>andrun or rejected. This process is shown in figure 4.As can be seen in figure 4, Cloud users(Job </p><p>submitter) send the request to the cloud sever to distribute or schedule the jobs according their </p><p>cost and availability time of volunteers(Job processor) and after they send the response to cloud </p><p>user through cloud servers . This entire step described in following: </p></li><li><p>International Journal on Cloud Computing: Services and Architecture (IJCCSA) ,Vol. 4, No. 4, August 2014 </p><p>15 </p><p> Request send to cloud server Waiting in buffers Reject the request because buffer is full or inapplicable Accept the request to server and distribute/scheduled the job Perform operation by job processor Send response to client </p><p>5.3 Job Scheduling </p><p>Proposed Algorithm described as follows: </p><p>Step 1: Cloud user send job request to the server. </p><p>Step2: Job request will be store in the JOB QUEUE a...</p></li></ul>

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